def __init__(self, settings_):
self.settings = settings_
self.input_engine = STTEngine(
pause_threshold=self.settings.SPEECH_RECOGNITION.get(
'pause_threshold'),
energy_theshold=self.settings.SPEECH_RECOGNITION.get(
'energy_threshold'),
ambient_duration=self.settings.SPEECH_RECOGNITION.get(
'ambient_duration'),
dynamic_energy_threshold=self.settings.SPEECH_RECOGNITION.get(
'dynamic_energy_threshold'),
sr=sr) if self.settings.GENERAL_SETTINGS.get(
'input_mode') == InputMode.VOICE.value else TTTEngine()
self.console_manager = ConsoleManager(
log_settings=self.settings.ROOT_LOG_CONF, )
self.output_engine = TTSEngine(
console_manager=self.console_manager,
speech_response_enabled=self.settings.GENERAL_SETTINGS.get(
'response_in_speech'))
self.response_creator = ResponseCreator()
self.skill_analyzer = SkillAnalyzer(
weight_measure=TfidfVectorizer,
similarity_measure=cosine_similarity,
args=self.settings.SKILL_ANALYZER.get('args'),
skills_=SKILLS,
sensitivity=self.settings.SKILL_ANALYZER.get('sensitivity'))
def setUp(self):
all_skills = {
MongoCollections.CONTROL_SKILLS.value: CONTROL_SKILLS,
MongoCollections.ENABLED_BASIC_SKILLS.value: ENABLED_BASIC_SKILLS,
}
for collection, documents in all_skills.items():
db.update_collection(collection, documents)
default_assistant_name = settings.DEFAULT_GENERAL_SETTINGS[
'assistant_name']
default_input_mode = settings.DEFAULT_GENERAL_SETTINGS['input_mode']
default_response_in_speech = settings.DEFAULT_GENERAL_SETTINGS[
'response_in_speech']
default_settings = {
'assistant_name': default_assistant_name,
'input_mode': default_input_mode,
'response_in_speech': default_response_in_speech,
}
db.update_collection(
collection=MongoCollections.GENERAL_SETTINGS.value,
documents=[default_settings])
self.skill_analyzer = SkillAnalyzer(
weight_measure=TfidfVectorizer,
similarity_measure=cosine_similarity,
args=settings.SKILL_ANALYZER.get('args'),
sensitivity=settings.SKILL_ANALYZER.get('sensitivity'),
)
def __init__(self):
self.input_engine = STTEngine(
pause_threshold=SPEECH_RECOGNITION['pause_threshold'],
energy_theshold=SPEECH_RECOGNITION['energy_threshold'],
ambient_duration=SPEECH_RECOGNITION['ambient_duration'],
dynamic_energy_threshold=SPEECH_RECOGNITION[
'dynamic_energy_threshold'],
sr=sr) if GENERAL_SETTINGS['user_voice_input'] else TTTEngine()
self.console_manager = ConsoleManager(log_settings=ROOT_LOG_CONF, )
self.output_engine = TTSEngine(
console_manager=self.console_manager,
speech_response_enabled=GENERAL_SETTINGS['response_in_speech'])
self.response_creator = ResponseCreator()
self.skill_analyzer = SkillAnalyzer(
weight_measure=TfidfVectorizer,
similarity_measure=cosine_similarity,
args=ANALYZER['args'],
skills_=SKILLS,
sensitivity=ANALYZER['sensitivity'])
self.skill_controller = SkillController(
settings_=GENERAL_SETTINGS,
input_engine=self.input_engine,
analyzer=self.skill_analyzer,
control_skills=CONTROL_SKILLS,
)
def setUp(self):
start_mongoDB_server()
db = MongoDB()
self.skill_analyzer = SkillAnalyzer(
weight_measure=TfidfVectorizer,
similarity_measure=cosine_similarity,
args=SKILL_ANALYZER.get('args'),
sensitivity=SKILL_ANALYZER.get('sensitivity'),
db=db)
def __init__(self, console_manager, settings_):
self.console_manager = console_manager
self.settings = settings_
self.response_creator = ResponseCreator()
self.skill_analyzer = SkillAnalyzer(
weight_measure=TfidfVectorizer,
similarity_measure=cosine_similarity,
args=self.settings.SKILL_ANALYZER.get('args'),
sensitivity=self.settings.SKILL_ANALYZER.get('sensitivity'),
)
def __init__(self):
self.input_engine = SPEECH_ENGINES[SPEECH_RECOGNITION['recognizer']]()
self.console_manager = ConsoleManager(log_settings=ROOT_LOG_CONF, )
self.output_engine = TTSEngine(
console_manager=self.console_manager,
speech_response_enabled=GENERAL_SETTINGS['response_in_speech'])
self.response_creator = ResponseCreator()
self.skill_analyzer = SkillAnalyzer(
weight_measure=TfidfVectorizer,
similarity_measure=cosine_similarity,
args=ANALYZER['args'],
skills_=SKILLS,
sensitivity=ANALYZER['sensitivity'])
self.skill_controller = SkillController(
settings_=GENERAL_SETTINGS,
input_engine=self.input_engine,
analyzer=self.skill_analyzer,
control_skills=CONTROL_SKILLS,
)
def __init__(self, settings_, db):
self.settings = settings_
self.db = db
self.input_engine = engines.STTEngine(
pause_threshold=self.settings.SPEECH_RECOGNITION.get('pause_threshold'),
energy_theshold=self.settings.SPEECH_RECOGNITION.get('energy_threshold'),
ambient_duration=self.settings.SPEECH_RECOGNITION.get('ambient_duration'),
dynamic_energy_threshold=self.settings.SPEECH_RECOGNITION.get(
'dynamic_energy_threshold'),
sr=sr
) if db.get_documents(collection='general_settings')[0]['input_mode'] == InputMode.VOICE.value \
else engines.TTTEngine()
self.output_engine = engines.TTSEngine() if db.get_documents(collection='general_settings')[0]['response_in_speech'] \
else engines.TTTEngine()
self.response_creator = ResponseCreator()
self.skill_analyzer = SkillAnalyzer(
weight_measure=TfidfVectorizer,
similarity_measure=cosine_similarity,
args=self.settings.SKILL_ANALYZER.get('args'),
sensitivity=self.settings.SKILL_ANALYZER.get('sensitivity'),
db=self.db)